ai-risk-mapper

To identify AI security risks across ML pipelines, you need a framework-driven assessment. This Skill automates risk discovery and analysis across data, model, and infrastructure lifecycles using the CoSAI Risk Map framework.

Yes, you can map discovered AI risks to standard frameworks like NIST AI RMF and MITRE ATLAS. The Skill provides automated framework-aligned profiling and maps each identified risk to relevant security controls.

The best way to generate structured remediation reports for LLM vulnerabilities is through end-to-end orchestration. This Skill analyzes risks, maps them to the OWASP Top 10 for LLM, and generates structured outputs for planning.

No, AI risk mapping does not require a mandatory internet connection. The Skill supports both offline and online schema access, allowing security teams to perform risk discovery and analysis in restricted environments.

Yes, you need PyYAML installed to run automated CoSAI risk assessments. The Skill explicitly requires the pyyaml dependency to execute its CLI scripts and orchestrate the end-to-end risk analysis workflow.

You should use an automated risk orchestrator when assessing complex AI systems spanning data, infrastructure, model, and application lifecycles. It provides comprehensive framework mappings and structured report generation that manual analysis cannot easily replicate.